Triple

T4571666
Position Surface form Disambiguated ID Type / Status
Subject Freiberg E123043 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object FG
FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
E454213 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: FG | Statement: [Freiberg, vehicleRegistrationCode, FG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: FG
Context triple: [Freiberg, vehicleRegistrationCode, FG]
  • A. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FGN
    FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: FG
Triple: [Freiberg, vehicleRegistrationCode, FG]
Generated description
FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: FG
Target entity description: FG is the vehicle registration code used on license plates for the district of Freiberg in the German state of Saxony.
  • A. FG
    FG is the commonly used abbreviation for Fine Gael, a major centre-right political party in Ireland.
  • B. GF
    GF is the two-letter ISO 3166-1 alpha-2 country code assigned to French Guiana.
  • C. FA
    FA is the governing body of association football in England, responsible for overseeing the national teams, competitions, and the rules of the game within the country.
  • D. FA
    FA is a Chilean left-wing political coalition known for uniting various progressive parties and movements to challenge the country’s traditional political blocs.
  • E. FGN
    FGN is the acronym commonly used to refer to the federal-level governing authority of the Federal Republic of Nigeria.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69bd46466c7081909d07f36be2d08804 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd58c5afa48190bb8505e2cc16e89f completed March 20, 2026, 2:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdd3cf5e10819099b2927c6f571673 completed March 20, 2026, 11:10 p.m.
NEDg Description generation batch_69bdd7f1efd0819089410e63f853175b completed March 20, 2026, 11:27 p.m.
NED2 Entity disambiguation (via description) batch_69bdd86be2c48190af8011a983f26b0d completed March 20, 2026, 11:29 p.m.
Created at: March 20, 2026, 1:10 p.m.